To have standard evaluations for all the reported results on the iMiGUE dataset, a two-level criteria has been defined. More specifically, on the MG recognition level, we utilized the cross-subject evaluation protocol which divides the 72 subjects into a training group of 37 subjects and a testing group of 35 subjects. The training and testing sets have 13 936 and 4 563 MG samples, respectively. The IDs of training and testing subjects can be found in the supplementary materials. On the emotion classification level, we selected 102 videos (51 win and 51 lose matches) as the training set, and 100 videos (50 win and 50 loss matches) as the test set. The player's emotional states (positive/negative) with the result of win or loss, are classified via analysis of MGs. The details of training and testing protocols (video IDs) can be found in the supplementary material. Specially, to benefit the community of skeleton or pose-based gesture recognition, we provide the pose data of every frame, achieved by using the OpenPose toolbox [1]}.
